class_docstr: HParams Plugin for TensorBoard.
  
  It supports both GETs and POSTs. See 'http_api.md' for more details.
docstr: Instantiates HParams plugin via TensorBoard core.
  
  Args:
    context: A base_plugin.TBContext instance.
docstr_tok: ["Instantiates","HParams","plugin","via","TensorBoard","core",".","Args",":","context",":","A","base_plugin.TBContext","instance","."]
code: def __init__(self, context):
      """Instantiates HParams plugin via TensorBoard core.
  
      Args:
        context: A base_plugin.TBContext instance.
      """
      self._context = backend_context.Context(context)
  
imports: import json
  import werkzeug
  from werkzeug import wrappers
  from tensorboard import plugin_util
  from tensorboard.plugins.hparams import api_pb2
  from tensorboard.plugins.hparams import backend_context
  from tensorboard.plugins.hparams import download_data
  from tensorboard.plugins.hparams import error
  from tensorboard.plugins.hparams import get_experiment
  from tensorboard.plugins.hparams import list_metric_evals
  from tensorboard.plugins.hparams import list_session_groups
  from tensorboard.plugins.hparams import metadata
  from google.protobuf import json_format
  from tensorboard.backend import http_util
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.scalar import metadata
  from tensorboard.util import tb_logging
label_desc: Use image node_id 1 to create a new HParamsPlugin object from inherited base classes: base_plugin with example: obj = HParamsPlugin(context)